CORDIS Project
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This project explores the use of quantum technology to enhance data privacy in deep learning applications. By developing a secure framework for information processing, it aims to protect sensitive data and proprietary AI models, particularly in healthcare and other critical sectors.
Deep Neural Networks (DNNs) have sparked a revolution across multiple domains.
However, the escalating computational demands of advanced DNNs have led to the need for high-power consumption accelerators, which hinders their deployment on low-power devices.
To enable advanced DNNs on such devices, the industry has resorted to offloading computationally intensive DNN inference to cloud servers.
Nevertheless, this offloading architecture introduces vulnerabilities that compromise data security, pre…
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United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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